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with a multidisciplinary clinical care team - Teach medical students, residents, and fellows - Support needs of rapidly growing pediatric divisions, including prominent pediatric GI service - Support
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analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae (including completed degrees, list of publications, research
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- Is committed to teaching - Has subspecialty expertise GI pathology; additional areas of experience are welcome Department Contact for Questions Jessica L. Davis, M.D. Vice Chair of Anatomic Pathology
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
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. Additional Qualifications: • Theory: Expertise in quantum optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis
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subspecialty expertise GI pathology; additional areas of experience are welcome Department Contact for Questions Michael D. Feldman M.D., PhD Manwaring Professor & Chair feldmam@iu.edu Jessica L. Davis, M.D
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(such as R and Python), and other data analysis tools (such as MATLAB, SPSS, SAS, Qualtrics, and Tableau). Experience training and consulting on the development of data management and sharing plans
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats